Interview Guides
You are the owner of a deployed classification model that had been stable for months, then its accuracy fell by 15% in the latest monitoring window. The model still feeds decisions into a live workflow, so the drop is already affecting downstream users and business outcomes. The team wants you to explain whether this is a data issue, a threshold issue, or a real model regression.
How would you handle a situation where a deployed model's accuracy suddenly drops by 15%?
